The major contenders vying for Senate seat to replace Lindsey Graham
Mark Sanford, former South Carolina governor and congressman, has added his name to the list of Republican candidates hoping to succeed the late Lindsey Graham in the U.S. Senate. CBS News political reporter Zak Hudak has more details.
2 outlets in our directory ran this story, first to last over 14 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Here Are the Candidates Vying for Sen. Lindsey Graham’s Seat — TIME — Top
CBS News — Top files mainly under news. We currently carry 1,828 of its stories.
Story provenance
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | CBS News — Top |
| Canonical URL | https://www.cbsnews.com/video/major-contenders-vying-south-carolina-senate-seat-replace-lindsey-graham/ |
| Publication time | Thu, 23 Jul 2026 20:11:00 -0400 |
| Retrieval time | 2026-07-24T00:58:56.734Z |
| Last seen | 2026-07-24T00:58:56.734Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher description |
| Excerpt method | Publisher-supplied description / RSS summary field. |
| Summary | None yet |
| Summary source text | description |
| Citation coverage | No WeSearch summary has been generated for this story yet. |
| Cluster | SgVoaBXHcozi · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.